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110
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CSDA
2007
105views more  CSDA 2007»
15 years 2 months ago
Model selection for support vector machines via uniform design
The problem of choosing a good parameter setting for a better generalization performance in a learning task is the so-called model selection. A nested uniform design (UD) methodol...
Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin, S...
139
Voted
SIGIR
2010
ACM
15 years 6 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
BMCBI
2005
100views more  BMCBI 2005»
15 years 2 months ago
Evolutionary models for insertions and deletions in a probabilistic modeling framework
Background: Probabilistic models for sequence comparison (such as hidden Markov models and pair hidden Markov models for proteins and mRNAs, or their context-free grammar counterp...
Elena Rivas
127
Voted
ICCS
2004
Springer
15 years 8 months ago
Using Runtime Measurements and Historical Traces for Acquiring Knowledge in Parallel Applications
Abstract. A new approach for acquiring knowledge of parallel applications regarding resource usage and for searching similarity on workload traces is presented. The main goal is to...
Luciano José Senger, Marcos José San...
DIS
2008
Springer
15 years 3 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel